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The influence of organizational factors to Software-As-AService (SAAS) adoption in Vietnamese enterprises

With the growth of the information technology industry, the literature exploring cloud computing, in particular, SaaS adoption has been developing considerably over the last few years. It is time to take stock of SaaS adoption’s determinant factors and its application to more specific contexts. This study endeavored to investigate the influence of three organizational factors (organizational size, organizational readiness, and top management support) to SaaS adoption in Vietnamese enterprises across sectors. Qualitative method was employed to analyze data gathered from 18 case-study companies. The findings reconfirmed that top management support is the strongest enabler for SaaS adoption while there are still some contradictions between organizational size as well as organizational readiness versus SaaS adoption in the context of a developing country as Vietnam.

7/8/2020 8:24:19 PM +00:00

Về một bộ dữ liệu xạ hình tưới máu cơ tim phục vụ việc xây dựng, đánh giá các mô hình học máy dò tìm tổn thương cơ tim

Chụp xạ hình tưới máu cơ tim (MPI) bằng máy chụp cắt lớp phát xạ đơn photon (SPECT) là một hướng nghiên cứu đầy tiềm năng cho học máy phục vụ hỗ trợ chẩn đoán (CAD). Tuy nhiên, các kết quả nghiên cứu về vấn đề này còn ít và khó có thể áp dụng, phát triển vì thiếu một cơ sở dữ liệu chuẩn. Hầu hết các thuật toán dò tìm tổn thương cơ tim bằng phân tích ảnh SPECT MPI đều dựa trên những tập dữ liệu riêng hoặc được công bố với thông tin không xác định. Điều này làm cho việc so sánh hiệu suất giữa các phương pháp khó khăn và việc phát triển tiếp gặp nhiều hạn chế. Nhằm giải quyết vấn đề này, chúng tôi đưa bộ dữ liệu chuẩn về ảnh SPECT MPI để đánh giá các phương pháp trong dò tìm tổn thương cơ tim. Bên cạnh đó, chúng tôi cũng xây dựng các mô hình hỗ trợ chẩn đoán bằng máy tính (CAD) dựa trên tập dữ liệu. Các mô hình được thiết kế với mục đích làm cơ sở chuẩn mực cho việc phát triển các mô hình CAD trên tập dữ liệu trong tương lai. Chúng tôi tin tưởng rằng, cơ sở dữ liệu và mô hình cơ bản sẽ góp phần phát triển các nghiên cứu về học máy ứng dụng trong hỗ trợ chẩn đoán SPECT MPI.

7/8/2020 8:22:23 PM +00:00

Giáo trình Hệ quản trị cơ sở dữ liệu MS ACCESS - CĐ Kỹ Thuật Công Nghệ Bà Rịa-Vũng Tàu

(NB) Giáo trình Hệ quản trị cơ sở dữ liệu MS ACCESS với mục tiêu chính là Trình bày các khái niệm cơ bản của hệ quản trị cơ sở dữ liệu Microsoft Access; Tạo lập được bảng dữ liệu, xây dựng được quan hệ giữa các bảng; Sử dụng, quản lý, bảo trì và khai thác số liệu trên các bảng; Thực hiện được truy vấn dữ liệu; Thiết kế đựợc các đối tượng Table, Query, Form

7/8/2020 4:03:27 PM +00:00

Giáo trình Cấu trúc dữ liệu và giải thuật - Nghề: Công nghệ thông tin (Cao đẳng) - CĐ Kỹ Thuật Công Nghệ Bà Rịa-Vũng Tàu

(NB) Giáo trình Cấu trúc dữ liệu và giải thuật nhằm cung cấp cho sinh viên các thuật toán tổng quát, danh sách liên kết, và các giải thuật sắp xếp, tìm kiếm. Từ đó sinh viên sẽ từng bước cải tiến thuật toán để xây dựng được những chương trình hiệu quả và có tính ứng dụng cao. Mục đích của giáo trình là trang bị cho học viên những kiến thức và kỹ năng phân tích xây dựng được thuật toán kết hợp với giải thuật.

7/8/2020 4:03:06 PM +00:00

Lecture Algorithms and data structures: Chapter 32 - Review 15-30

This chapter augments your database application development skills with stored procedures and triggers. Stored procedures provide reuse of common code, while triggers provide rule processing for common tasks. Together, stored procedures and triggers support customization of database applications and improved productivity in developing database applications.

7/8/2020 3:22:52 PM +00:00

Lecture Algorithms and data structures - Chapter 31: Review 1 - 14

This chapter shows you how to apply your query formulation skills to building applications with views. This chapter also emphasizes views as the foundation for building database applications. Before discussing the link between views and database applications, essential background is provided.

7/8/2020 3:22:46 PM +00:00

Lecture Algorithms and data structures: Chapter 30 - Hashing

This chapter presents the following content: More of an interactive demonstration than an animation, demonstrate conceptual execution model of Type II nested queries, type II nested queries are important for solving problems involving difference operator, problems with difference are not common,...

7/8/2020 3:22:40 PM +00:00

Lecture Algorithms and data structures - Chapter 29: Graphs - BF&DF Traversal

This chapter extends your knowledge of query formulation to advanced matching problems. To solve these advanced matching problems, additional parts of the SELECT statement are introduced. This chapter continues with the learning approaches of Chapter 4: provide many examples to imitate and problem-solving guidelines to help you reason through difficult problems.

7/8/2020 3:22:33 PM +00:00

Lecture Algorithms and data structures: Chapter 28 - Graphs

In this chapter, you learned about entity relationship diagrams, data modeling practice, schema conversion, and normalization. This chapter extends your database design skills by explaining the process to achieve an efficient implementation of your table design.

7/8/2020 3:22:27 PM +00:00

Lecture Algorithms and data structures: Chapter 27 - Binary Tree

In this chapter, you learned about the notation used in entity relationship diagrams, important data modeling patterns, guidelines to avoid common modeling errors, and conversion of entity relationship diagrams (ERDs) into relational tables. You applied this knowledge to construct ERDs for small, narrative problems. This chapter extends your database design skills by presenting normalization techniques to remove redundancy in relational tables.

7/8/2020 3:22:20 PM +00:00

Lecture Algorithms and data structures: Chapter 26 - Trees

This chapter provided a broad presentation about the database development process. You learned about the relationship between database development and information systems development, the phases of database development, and the kinds of skills you need to master. This chapter presents the notation of entity relationship diagrams to provide a foundation for using entity relationship diagrams in the database development process.

7/8/2020 3:22:14 PM +00:00

Lecture Algorithms and data structures: Chapter 25 - Types of Queue

This chapter narrows your focus to the relational data model. Relational DBMSs dominate the market for business DBMSs. You will undoubtedly use relational DBMSs throughout your career as an information systems professional. This chapter provides background so that you may become proficient in designing databases and developing applications for relational databases in later chapters.

7/8/2020 3:22:07 PM +00:00

Lecture Algorithms and data structures: Chapter 24 - Queue

In computer science, an AVL tree (Georgy Adelson-Velsky and Evgenii Landis' tree, named after the inventors) is a self-balancing binary search tree. This chapter includes contents: Background, define height balancing, maintaining balance within a tree.

7/8/2020 3:22:01 PM +00:00

Lecture Algorithms and data structures: Chapter 23 - Arrays & Strings

In computer science, binary search trees, sometimes called ordered or sorted binary trees, are a particular type of containers: data structures that store items (such as numbers, names etc.) in memory. This topic covers binary search trees: Abstract Sorted Lists, background, definition and examples,...

7/8/2020 3:21:55 PM +00:00

Lecture Algorithms and data structures: Chapter 22 - Pointers

In computer science, a balanced trees is a self-balancing tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. In this topic, we will: Introduce the idea of balance and a few examples.

7/8/2020 3:21:49 PM +00:00

Lecture Algorithms and data structures: Chapter 21 - Lists

In this lecture we will continue our study of trees by examining a few special kinds of trees. This topic quickly looks at a generalization of a binary tree, where each node has up to N children: Definition, perfect N-ary trees, complete N-ary trees, implementation using templates.

7/8/2020 3:21:43 PM +00:00

Lecture Algorithms and data structures: Chapter 20 - Pseudo Code & Flow Charts

The preceding chapter introduces the idea of a perfect tree. Complete trees and perfect trees are closely related, yet quite distinct. In this chapter, introducing complete binary trees: Background, definitions, examples, logarithmic height, array storage.

7/8/2020 3:21:37 PM +00:00

Lecture Algorithms and data structures: Chapter 19 - Algorithm Analysis

A binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. This chapter introduce perfect binary trees: Definitions and examples, number of nodes, logarithmic height, number of leaf nodes, applications.

7/8/2020 3:21:30 PM +00:00

Lecture Algorithms and data structures: Chapter 18 - Doubly Linked List

In computer science, a binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. In this talk, we will look at the binary tree data structure: Definition, properties, a few applications (Ropes, expression trees).

7/8/2020 3:21:24 PM +00:00

Lecture Algorithms and data structures: Chapter 17 - Singly Linked List

This topic will cover tree traversals: A means of visiting all the objects in a tree data structure, we will look at breadth-first traversals and depth-first traversals (Pre-order and Post-order depth-first traversals), applications, general guidelines.

7/8/2020 3:21:18 PM +00:00

Lecture Algorithms and data structures: Chapter 16 - Singly Linked List

A hierarchical ordering of a finite number of objects may be stored in a tree data structure. Operations on a hierarchically stored container include: Accessing the root, given an object in the container: Access the parent of the current object, find the degree of the current object, get a reference to a child, attach a new sub-tree to the current object, detach this tree from its parent.

7/8/2020 3:21:11 PM +00:00

Lecture Algorithms and data structures: Chapter 15 - Deleting an Element from a Linked List

In this topic, we will cover: Definition of a tree data structure and its components. Concepts of: Root, internal, and leaf nodes; parents, children, and siblings; paths, path length, height, and depth; ancestors and descendants; ordered and unordered trees; subtrees.

7/8/2020 3:21:05 PM +00:00

Lecture Algorithms and data structures: Chapter 14 - Linked List Traversal Inserting

In this presentation, we covered: Dealing with node-based allocation with arrays; internally, it is still a linked list, only the nodes are contiguous in memory; it is no longer necessary to call the operating system for each new node; doubling the memory used is straight-forward; to halve the memory used, we just follow the linked list.

7/8/2020 3:20:59 PM +00:00

Lecture Algorithms and data structures - Chapter 13: Prefix - Infix - Postfix - Examples

In this topic, we will look at linked lists: The Node and List classes, accessors and mutators, the implementation of various member functions, stepping through a linked list, defining the copy and assignment operator, defining move constructors and move assignment operators, discussed efficiencies.

7/8/2020 3:20:52 PM +00:00

Lecture Algorithms and data structures: Chapter 12 - Prefix Infix Postfix

An Abstract Queue (Queue ADT) is an abstract data type that emphasizes specific operations: Uses a explicit linear ordering, insertions and removals are performed individually, there are no restrictions on objects inserted into (pushed onto) the queue - that object is designated the back of the queue,... This topic discusses the concept of a queue: Description of an Abstract Queue, list applications, implementation, queuing theory, standard template library.

7/8/2020 3:20:46 PM +00:00

Lecture Algorithms and data structures: Chapter 11- Stacks

An Abstract Stack (Stack ADT) is an abstract data type which emphasizes specific operations: Uses a explicit linear ordering, insertions and removals are performed individually, there are no restrictions on objects inserted into (pushed onto) the queue that object is designated the back of the queue,... This topic discusses the concept of a stack: Description of an Abstract Stack, list applications, implementation, example applications, standard template library.

7/8/2020 3:20:40 PM +00:00

Lecture Algorithms and data structures: Chapter 10 - List using Array

An Abstract Deque (Deque ADT) is an abstract data structure which emphasizes specific operations: Uses a explicit linear ordering, insertions and removals are performed individually, allows insertions at both the front and back of the deque. This topic discusses the concept of a queue: Description of an Abstract Deque, applications, implementations, the STL and iterations.

7/8/2020 3:20:34 PM +00:00

Lecture Algorithms and data structures: Chapter 9 - Sorting Algorithms

An Abstract List (or List ADT) is linearly ordered data where the programmer explicitly defines the ordering. We will now look at our first abstract data structure: Relation - explicit linear ordering, operations, implementations of an abstract list with linked lists and arrays, memory requirements, strings as a special case, the STL vector class.

7/8/2020 3:20:28 PM +00:00

Lecture Algorithms and data structures: Chapter 8 - Selection Sort

In this topic, we will examine code to determine the run time of various operations. We will introduce machine instructions, we will calculate the run times of: operators +, -, =, +=, ++, etc; control statements if, for, while, do-while, switch; functions; recursive functions.

7/8/2020 3:20:22 PM +00:00

Lecture Algorithms and data structures: Chapter 7 - Merge Sort

In this topic, we will look at: Justification for analysis, quadratic and polynomial growth, counting machine instructions, Landau symbols, Big-Q as an equivalence relation, little-o as a weak ordering.

7/8/2020 3:20:16 PM +00:00